How to use microsoft/beit-base-patch16-224-pt22k-ft22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-base-patch16-224-pt22k-ft22k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("microsoft/beit-base-patch16-224-pt22k-ft22k") model = AutoModelForImageClassification.from_pretrained("microsoft/beit-base-patch16-224-pt22k-ft22k", device_map="auto")
https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k/resolve/refs%2Fpr%2F2/config.json
hf download hf://microsoft/beit-base-patch16-224-pt22k-ft22k@refs/pr/2/config.json
curl -L -o config.json https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k/resolve/refs%2Fpr%2F2/config.json
